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SIGIR
2005
ACM
15 years 7 months ago
A study of factors affecting the utility of implicit relevance feedback
Implicit relevance feedback (IRF) is the process by which a search system unobtrusively gathers evidence on searcher interests from their interaction with the system. IRF is a new...
Ryen W. White, Ian Ruthven, Joemon M. Jose
CHI
2008
ACM
16 years 2 months ago
Eye movements as implicit relevance feedback
Reading detection is an important step in the process of automatic relevance feedback generation based on eye movements for information retrieval tasks. We describe a reading dete...
Georg Buscher, Andreas Dengel, Ludger van Elst
TREC
2008
15 years 3 months ago
DUTIR at TREC 2008 Relevance Feedback Track
This paper details our experiments carried out at TREC 2008 Relevance Feedback Track. We focused on the analysis of feedback documents, both relevant and non-relevant, to explore ...
Xiaoling Sun, Yuan Lin, Hongfei Lin, Zhihao Yang
ECIR
2006
Springer
15 years 3 months ago
Structural Feedback for Keyword-Based XML Retrieval
Keyword-based queries are an important means to retrieve information from XML collections with unknown or complex schemas. Relevance Feedback integrates relevance information provi...
Ralf Schenkel, Martin Theobald
PR
2002
121views more  PR 2002»
15 years 1 months ago
Statistical correlation analysis in image retrieval
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided r...
Mingjing Li, Zheng Chen, HongJiang Zhang